JP5711634B2 - Image processing apparatus, image processing method, and image processing program - Google Patents

Description

  Embodiments described herein relate generally to an image processing apparatus, an image processing method, and an image processing program.

  When the distance from an imaging device such as a camera to the subject is known, create two images with different binocular parallax according to the distance, and observe the images in three dimensions by observing with the right and left eyes respectively. Can do. However, in order to realize this system, for example, a display that displays right-eye and left-eye images divided spatially or temporally is required. In addition, the configuration is complicated such that the user needs to wear glasses. Thus, if a video with a three-dimensional effect can be displayed while the video display remains two-dimensional, the user's profit is also great.

  By emphasizing the shadow of the subject, the sense of unevenness is increased and the stereoscopic effect of the image is increased. Here, the concavo-convex feeling is the expressive power of the concavo-convex on the surface of the subject. As a technique for emphasizing shadows, a technique for emphasizing gradation representing a sense of unevenness on the surface of an object is known. In this method, the gradient of the image is calculated, and a component having a small gradient strength is emphasized.

  However, in this method, since the shadow is emphasized uniformly on the entire screen, for example, the unevenness of the background with a long distance increases. Since the subject with increased unevenness is perceived closer than before processing, if there is a subject in the foreground, the distance between the foreground and the background is perceived closer, resulting in a planar composition with a lower depth feeling. There was a problem. Here, the sense of depth is the expressive power of the distance in the depth direction between subjects.

Shinichiro Miyaoka: “Gradient spatial filtering of images”, IEICE technical report, Vol. 109, no. 182, pp. 143-150, August 2009

  The problem to be solved by the present invention is to provide an image processing apparatus that generates an image having an increased expression of distance in the depth direction between subjects.

  The image processing apparatus according to the embodiment includes an acquisition unit, a region acquisition unit, a separation unit, a processing unit, and a synthesis unit. The acquisition unit acquires the depth value of the object in the input image. The area acquisition unit acquires the boundary of the object. The separation unit separates the input image into a first component that is a component including gradation of an object and a second component that is a component other than the first component. The processing means generates a processed component obtained by converting the first component according to the depth value. The synthesizing unit generates a synthesized component obtained by synthesizing the processed component and the second component.

1 is a block diagram illustrating an image processing apparatus according to a first embodiment. 1 is a diagram illustrating a hardware configuration of an image processing apparatus according to an embodiment. 3 is a flowchart of the image processing apparatus according to the embodiment. The block diagram which shows the isolation | separation part of embodiment. The flowchart of the isolation | separation part of embodiment. The figure which shows an example of the object boundary coordinate of embodiment. The figure which shows the area | region of the image of embodiment. The figure which shows an example of the skeleton component image and separation component image of embodiment. The figure which shows an example of a skeleton component image and a separation component image. The figure which shows an example of the skeleton component image and separation component image of embodiment. The figure which shows an example of the skeleton component image and separation component image of embodiment. The block diagram which shows the image processing apparatus of the modification 1. FIG. The block diagram which shows the image processing apparatus of 2nd Embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

(First embodiment)
The image processing apparatus according to the present embodiment is an apparatus that processes an input image and obtains an image with increased stereoscopic effect. For example, by displaying an image output from the image processing apparatus on a television receiver, an image with an increased stereoscopic effect can be provided to the user.

  FIG. 1 is a block diagram illustrating an image processing apparatus according to the first embodiment. The image processing apparatus according to this embodiment includes an acquisition unit 101 that acquires a depth value of a subject in an input image, an area acquisition unit 102 that acquires a boundary of one or more objects from the subject in the input image, and an input image. A separation unit 103 that separates a first component that is a component including gradation of an object and a second component that is a component other than the first component, and a processed component obtained by converting the first component according to a depth value And a combining unit 105 that generates a combined component obtained by combining the processed component and the second component.

  An input image can be acquired by imaging a subject with an imaging device such as a camera. An object is a region having the same luminance and color when a subject is illuminated equally, for example, in a subject in an input image. The subject in the input image has one or more objects.

  Here, the image processing apparatus of the present embodiment emphasizes the first component including gradation according to the depth value of the subject. Specifically, by increasing the degree of emphasis of the first component on the subject in front (the depth value is large), an image in which the power of expressing the distance in the depth direction between the subjects is increased is generated.

  Further, the image processing apparatus according to the present embodiment displays an image so that the components other than the gradation of the input image and the components other than the gradation of the composite component have the same value at the coordinates where the first component is emphasized by the processing unit 104. Generate. Here, the component other than the gradation is a component representing a feeling of unevenness on the surface of the subject, and represents the brightness of the subject in the input image. The image processing apparatus according to the present embodiment generates an unnatural image such that only a part of the image is brightened by suppressing fluctuations of components other than the gradation in the coordinate in which the gradation representing the unevenness is emphasized. To prevent.

(Hardware configuration)
The image processing apparatus of the present embodiment is configured by hardware using a normal computer as shown in FIG. 2, and includes a control unit 201 such as a CPU (Central Processing Unit) that controls the entire apparatus, various data, A storage unit 202 such as a ROM (Read Only Memory) or a RAM (Random Access Memory) that stores various programs, and an external such as an HDD (Hard Disk Drive) or CD (Compact Disk) drive device that stores various data and various programs. A storage unit 203; an operation unit 204 such as a keyboard and a mouse that accepts user input; a communication unit 205 that controls communication with an external device; a camera 206 that captures an image; and a display 207 that displays an image; A bus 208 for connecting them is provided.

  In such a hardware configuration, the control unit 201 executes various programs stored in the storage unit 202 such as the ROM or the external storage unit 203, thereby realizing the functions described below.

(flowchart)
Processing of the image processing apparatus according to the present embodiment will be described using the flowchart of FIG.

  First, in step S301, the acquisition unit 101 acquires the depth value R of the subject in the input image. Here, the depth value is, for example, a value corresponding to the distance from a predetermined viewpoint of the camera 206 to the subject, and is acquired for each pixel of the input image. The depth value can be obtained directly using a distance sensor. In addition, a depth value can be acquired according to the amount of positional deviation between stereo images using a stereo image that is a set of images taken from two viewpoints. In particular, the depth value can be acquired using the right-eye image and the left-eye image included in the stereoscopic video content. Further, the depth value may be estimated from one image using information on the degree of blurring or contrast of the image.

  In the present embodiment, the depth value R (x, y) at the coordinates (x, y) takes a value from 0 to 1, and the larger the value, the closer to the front. The range of the depth value is an example, and a depth value that indicates the near side as the value is smaller may be used.

  Next, in step S302, the area acquisition unit 102 divides the input image for each object, and acquires object boundary coordinates (object boundary coordinates). Here, the object refers to a region having the same luminance and color when the illumination is equally applied to the subject. In the actual input image, the brightness and color differ in the area of each object due to the influence of lighting. In the present embodiment, assuming that the pixel values of the input image are sufficiently different at the boundary between adjacent objects, coordinates having a large gradient strength of the pixel values are acquired as object boundary coordinates.

First, the gradient strength of the input image is calculated for each coordinate. When the input image is I _in , the gradient strength G _in is calculated by the following equation.

However, (x, y) is an index indicating the coordinates of the input image. For example, I _in (x, y) indicates a pixel value at the coordinates (x, y) of I _in . When a color image is input, for example, the Y component (brightness) of YUV is processed as a pixel value, and the UV component is processed according to the Y component.

  Next, gradient strength is determined for each coordinate with a certain threshold value, and coordinates having gradient strength larger than the threshold value are acquired as object boundary coordinates. In this embodiment, the object boundary coordinates are assumed to be in the form of an object boundary coordinate map M. If M (x, y) is 1, it is assumed that the object boundary coordinates are not present, and if M (x, y) is 0, it is not an object boundary coordinate.

  Note that the concept of the object is not limited to that described above. For example, each object in the real world may be an object. Alternatively, each object region may be generated by a clustering method such as a mean shift method, and the boundary coordinates may be used as the object boundary coordinates.

  Next, in step S303, the separation unit 103 separates the input image into a skeleton component image and a separation component image. Here, the skeleton component image includes a portion having a strong gradient such as an edge. On the other hand, the separation gradient image includes a portion having a weak gradient such as a gradation excluding an edge. That is, the separation unit 103 separates the input image into a separation gradient image (first component) that is a component including gradation and a skeleton component image (second component) that is a component other than the first component.

  The operation of the separation unit 103 will be described with reference to FIGS. 4 and 5. FIG. 4 is a block diagram showing the internal configuration of the separation unit 103. The separation unit 103 includes a calculation unit 401 that generates a skeleton gradient component from the input image and the object boundary coordinate map M, a generation unit 402 that generates a skeleton component image from the skeleton gradient component, and a separation component image from the input image and the skeleton component image. Is included.

FIG. 5 is a flowchart showing the operation of the separation unit 103. In step S501, the calculation unit 401 uses the object boundary coordinate map M to generate a skeleton gradient component indicating the gradient component of the skeleton component image. First, a horizontal skeleton gradient component g _hor is calculated. In the coordinate (a, b) of interest, when M (a, b) is 0, g _hor (a, b) = 0. When M (a, b) is 1, the closest coordinate (c, d) where M (x, y) is 1 among the coordinates smaller than (a, b) in the horizontal direction is obtained, and equation (2) G _hor is calculated from the difference in pixel value between the coordinates represented by

The relationship between (a, b) and (c, d) will be described with reference to FIG. This figure is an example of the object boundary coordinate map M. A hatched frame in the figure indicates object boundary coordinates (M = 1). When viewed from the coordinates (a, b), there are a plurality of object boundary coordinates in the horizontal direction, of which the horizontal coordinates are smaller than (a, b) (located on the left) and the closest coordinates are ( c, d).

Similarly, the skeletal gradient component g _ver in the vertical direction is calculated. That is, g _ver (a, b) = 0 when M (a, b) is 0 at the coordinate (a, b) of interest. When M (a, b) is 1, among the coordinates smaller than (a, b) in the vertical direction, the nearest coordinate (e, f) where M (x, y) is 1 is obtained, and the interval between the coordinates _Gver is calculated from the difference in pixel values of the input image (equation (3)).

Next, in step S502, the generation unit 402 generates a skeleton component image _Ist having a skeleton gradient component g _{hor in the} horizontal direction and a skeleton gradient component g _ver in the vertical direction as gradients. As a method of generating an image having a predetermined gradient, a method of solving a problem by reducing the problem to the Poisson equation is widely known (for example, R. Fattal et al., “Gradient domain high dynamic compression”, SIGGRAPH proceedings, pp. 249-256, 2002).

The generating unit 402 represents the boundary condition that the pixel value of the input image is held in the region Ω of one pixel around the edge of the image shown in FIG.

An image (skeleton component image) I _{st in} which the gradient is close to the skeleton gradient component g _st = (g _hor , g _ver ) while satisfying the above is calculated by the following expression.

However, ∇I = (∂I / ∂x, ∂I / ∂y). The expression (5) is reduced to the Poisson equation of the following expression (6) by expression modification, and can be solved by the Jacobi method, the Gauss-Seidel method, the SOR method, and the like.

The skeleton component image _Ist can also be solved by processing the sine-transformed coefficient. For example, when solving using the Jacobi method, the following equation is repeated for the internal region (x, y) εΓ excluding the region Ω.

Here, I _st ⁿ is a skeleton component image at iteration n, and (divg _st ) (x, y) is calculated by the following equation.

The final skeletal component image I _st is defined as I _st ⁿ after iterating until ⁿ reaches a predetermined number or the change in I _st ⁿ due to the iteration becomes sufficiently small.

Next, in step S503, the subtraction unit 203 subtracts the skeleton component image _Ist from the input image to generate a separated component image _Igr .

  FIG. 8 is a diagram illustrating an example of a skeleton component image and a separated component image separated from the input image. This figure is a graph showing the pixel values in a certain section of the input image in one dimension. When the pixel value of the input image has a shape indicated by 801, the skeleton component image and the separation component image generated by the separation unit 103 have shapes such as 802 and 803, respectively. Here, A, B, C, and D are object boundary coordinates, and AB, BC, and CD each represent one object.

  As shown in FIG. 8, the skeleton component image is a component whose pixel value fluctuates mainly at the edge portion of the input image. The separated component image is a component that expresses a shadow mainly including gradation and fine texture. Here, in the separation component image generated by the separation unit 103 of the present embodiment, at least one pixel value is 0 in the pair of the two closest object boundary coordinates. That is, the pixel value of the separated component image is 0 for A in B, B in B-C, and C in C.

  As described above, it is important that the separation component image is separated so as to be zero at at least one coordinate at the boundary of the object. If this separated component image is used, it is possible to suppress fluctuations of components other than gradation due to enhancement in the processing unit 104 described later. At the coordinates where the separated component image is 0, the processed component is also 0. That is, at this coordinate, the component other than the gradation of the input image and the component other than the gradation of the composite component have the same value. This prevents an unnatural image such as a part of the image from becoming bright.

  For example, when the input image is separated as shown in FIG. 9, if the separation component image is emphasized by the processing unit 104, the unnecessary component 903 other than the gradation is also emphasized. As a result, components other than the gradation of the composite component fluctuate, and an unnatural image is generated such that only a part of the image becomes bright.

  The method for separating the input image is not limited to the above. For example, as shown in FIG. 10, the pixel value at the object boundary coordinate of the skeleton component image is made equal to the pixel value of the input image, and the pixel value at the coordinate that is not the object boundary coordinate is generated by interpolation of the pixel value of the object boundary coordinate. You can also

  Further, as shown in FIG. 11, the input image can be separated so that the average value of the separated component images becomes 0 in each object region. For example, an average value of pixel values in each object region is calculated, and the value is used as a skeleton component image in each object region, and an image obtained by subtracting this skeleton image component from the input image is used as a separated component image.

  Returning to the flowchart of FIG. In step S304, the processing unit 104 generates a processed component by enhancing the separated component image according to the depth value. In the present embodiment, by increasing the degree of emphasis for a subject existing in the foreground (a subject having a greater depth value R), an image that is perceived by increasing the depth direction distance between the subject existing in the back and the subject existing in the foreground. Is generated. A subject having a sense of unevenness due to the enhancement of the separated component image (first component) is perceived on the near side.

The processing unit 104 uses the separated component image I _gr and the depth value R to calculate a processed component I ^ _{gr according} to the following equation. In addition, the letter I with the hat symbol ^ in the mathematical expression is expressed as I ^ in the text.

Here, α (r) is a processing coefficient that takes a larger value as the depth value is closer, and can be expressed by the following equation using a positive constant β.

Alternatively, α (r) may be expressed in a non-linear form using the positive constant ω as in the following equation.

As described above, the processing coefficient α can take an arbitrary positive number as a value. If the processing coefficient α is larger than 1, the separated component image is emphasized, and the shadow of the processed component becomes strong. If the processing coefficient α is smaller than 1, the separated component image is suppressed, and the shadow of the processed component becomes weak. Further, the enhancement of the separated component image is not limited to multiplication by the processing coefficient α. For example, the absolute value may be manipulated by addition as in the following equation.

Here, sign (i) is the sign of i. Further, a table for largely converting the value according to the depth value R may be created in advance, and the absolute value of the separated component image may be converted according to this table.

In this example, the value representing the forefront of the possible values of the depth value is used as the reference value, and the separation component image is emphasized as the difference between the reference value and the depth value is small. However, the reference value is not limited to this. I can't. The intermediate depth value or the innermost depth value may be used as a reference value, and the separation component image may be enhanced as the reference value is closer. For example, if an intermediate depth value is r _base , α that increases as the depth value R (x, y) is closer to r _base may be used in equation (9). α can be calculated by the following equation, for example, where ω is a positive constant.

Thereby, the subject at this position can be emphasized, for example, when the illumination is strongly applied only to a certain depth value r _base .

Returning to the flowchart of FIG. Finally, in step S305, the synthesizer 105 synthesizes the skeleton component image _Ist and the processed component I ^ _gr to generate a synthesized component _Icomb . The synthesizer 105 generates a synthesized component I _comb by the following formula, for example.

The composite component I _comb generated by the above processing becomes an image output by the image processing apparatus according to the present embodiment.

  As described above, the image processing apparatus according to the present embodiment generates a composite component in which the degree of enhancement of the separated component image (first component) is increased as the subject is closer to the front. As a result, it is possible to generate an image in which the power of expressing the distance in the depth direction between the subjects is increased.

  Further, the image processing apparatus according to the present embodiment combines the components other than the gradation of the input image and the components other than the gradation of the combined component at the same value at the coordinates where the separated component image (first component) is emphasized. Generate ingredients. Thereby, it is possible to prevent an unnatural image such as a part of the image from being brightened.

(Modification 1)
If the method according to the present embodiment is used, the change in brightness of the separated component and the processed component can be reduced. However, when the change in the processing coefficient α (r) is spatially large, Changes can be significant. Therefore, in each object region, the separated component image may be separated from the input image so that the average value of the processed component and the average value of the separated component image match.

For example, the pixel value of the skeleton component image in one object region is a constant value J, and the separated component image is I _in −J. At this time, since the processed component is α (R (x, y)) × (I _in −J), the value of J may be obtained so as to satisfy the expression (15). However, integration is performed with the coordinates inside one region. For example, the value of J can be changed with a discrete value.

A method for realizing the present modification will be described with reference to FIG. The image processing apparatus according to the present modification is different from the first embodiment in that the separation unit 1203 inputs not only the input image / object boundary coordinates but also the depth value. The separation unit 1203 first calculates the processing coefficient α by the same method as the processing unit 104. Then, J that satisfies the equation (15) is calculated in the area of one object. Then, for the same object region, the pixel value of the skeleton component image is output as J, and the separated component image is output as I _in -J. Similar processing is performed for other objects.

  In this way, in the area of each object, by matching the average value of the separated component image and the average value of the processed component, it is possible to prevent components other than gradation from fluctuating greatly between the input image and the composite component. To do. Thereby, it is possible to prevent an unnatural image such as a part of the image from being brightened.

(Second Embodiment)
FIG. 13 is a block diagram illustrating a configuration of an image processing apparatus according to the second embodiment. The image processing apparatus according to the present embodiment is different from the first embodiment in the functions of the separation unit 1303 and the processing unit 1304. Since other functions are the same as those of the image processing apparatus according to the first embodiment, description thereof will be omitted.

  The separation unit 1303 separates the input image into a skeleton component image and a separation component image. In the present embodiment, when the input image is separated, no restriction is imposed between the skeleton component image and the separated component image. For example, as shown in FIG. 9, the input image may be separated so that the separated component image includes unnecessary components other than gradation.

  The processing unit 1304 uses the object boundary coordinate map M and the depth value to generate a processed component that emphasizes the separated component image. At this time, the processing unit 1304 generates processed components so that components other than the gradation of the input image and components other than the gradation of the synthesized component generated by the synthesizing unit 105 do not vary greatly. Specifically, the processed components are generated so that the average value of the components other than the gradation does not fluctuate in each object region.

First, the processing unit 1304 uses the separated component image I _gr and the depth value R to calculate a provisionally processed component I ^- _{gr according} to the following equation. Note that symbols in the formulas - the fringed characters I, in the text I ^- that notation.

Here, α can be the same as in the first embodiment.

Then, the processing unit 1304, the region of one object, the average value ^I of the average value _{I ave} and provisional treated component separation component image _{I gr -} calculating the _ave. And the processed component in the same area | region is calculated with the following formula | equation.

For all object regions, the processed components are calculated using equation (17).

The processing unit 1304 may generate a processed component for each object so that one pixel value of the object boundary coordinates does not change. For example, the processed component can be generated so that the pixel value before and after the process does not change at the coordinates where the absolute value of the separated component image is minimum. First, the processing unit 1304 selects a region of one object. Next, the coordinate where the absolute value of the separated component image is minimum is searched for in the object boundary coordinates. Let the coordinates be (g, h). Next, the processed component of the object boundary coordinates of the selected object is calculated by the following equation based on the pixel value I _gr (g, h) of the separated component image of (g, h).

For all object regions, processed components are calculated according to equation (18).

  Using the processed component generated in this way, the synthesizing unit 105 generates a synthesized component and outputs it as an output of the image processing apparatus according to the second embodiment.

  The image processing apparatus according to the present embodiment prevents a component other than the gradation of the input image and a component other than the gradation of the composite component from greatly fluctuating in the coordinates where the separated component image (first component) is emphasized. Thereby, it is possible to prevent an unnatural image such as a part of the image from being brightened.

(Modification 2)
In the first and second embodiments, the method of processing so as to reduce the change in the average pixel value for each object is shown. However, in addition to this, the radiance for each object when displayed on the display is shown. You may process so that the change of an average value may become small.

  In the first and second embodiments, processing of a two-dimensional image has been described. However, processing is also performed for a stereoscopic image having two parallaxes of a right-eye image and a left-eye image and a stereoscopic image having a parallax of three or more parallaxes. Is possible. As a result, even when a stereoscopic image is displayed on a glasses-type or naked-eye type stereoscopic display, it is possible to display an image with a stereoscopic effect.

  For example, each of the parallax images can be processed independently by the method shown in the first and second embodiments. Further, by providing a correlation between processing of parallax images, the image quality of the processed image is improved. For example, the area acquisition unit 102 can perform alignment between parallax images and calculate object boundary coordinates so that the corresponding coordinates are in the same object area. Thereby, the precision which divides | segments an object improves. Further, by making the separation component image and the processed component common among the parallax images, it is possible to suppress a change in the output image between the parallax images.

(effect)
The image processing apparatus according to at least one embodiment described above generates a composite component in which the degree of enhancement of the separated component image (first component) is increased as the subject is closer to the front. As a result, it is possible to generate an image in which the power of expressing the distance in the depth direction between the subjects is increased.

  In addition, the image processing apparatus according to at least one embodiment prevents the component other than the gradation of the input image and the component other than the gradation of the composite component from greatly fluctuating. Thereby, it is possible to prevent an unnatural image such as a part of the image from being brightened.

  Note that some or all of the functions in the present embodiment described above can be realized by software processing.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 101 Acquisition part 102 Area | region acquisition part 103, 1203, 1303 Separation part 104, 1304 Processing part 105 Composition part 201 Control part 202 Storage part 203 External storage part 204 Operation part 205 Communication part 206 Camera 207 Display 208 Bus 401 Calculation part 402 Generation part 403 Subtraction unit 801 Input image 802, 901, 1001, 1101 Skeletal component image 803, 902, 1002, 1102 Separation component image 903 Unnecessary component

Claims (10)

Acquisition means for acquiring the depth value of the object in the input image;
Area acquisition means for acquiring a boundary of the object;
Separating means for separating the input image into a first component that is a component including gradation of the object and a second component that is a component other than the first component;
Processing means for generating a processed component in which the first component is emphasized with a strength corresponding to the depth value;
A synthesizing means for generating a composite synthetic component and said second component and said processed component,
The processing means, the image processing apparatus characterized as the difference of the predetermined reference value and the depth value is smaller, that increasing the amount of emphasizing the first component. 2. The composite component is generated such that a component other than the gradation of the input image and a component other than the gradation of the composite component have the same value in the coordinates obtained by converting the first component by the processing unit. Image processing apparatus. 3. The image processing according to claim 2, wherein the separation unit separates the input image into the first component and the second component so that the first component becomes zero at at least one coordinate at a boundary of the object. apparatus. The image processing apparatus according to claim 1, wherein the processed component is generated so that an average value of the first component and an average value of the processed component are the same value in the region of the object. The image processing apparatus according to claim 1, wherein the separation unit separates the input image into the first component and the second component such that an average value of the first component becomes 0 in the region of the object. The image processing apparatus according to claim 1, wherein the reference value is a value that represents the foremost value that can be taken by the depth value. Obtaining a depth value of an object in the input image;
Obtaining a boundary of the object;
Separating the input image into a first component that is a component including gradation of the object and a second component that is a component other than the first component;
Generating a processed component in which the first component is emphasized with a strength corresponding to the depth value;
And a step of generating a composite synthetic component and the processed component and the second component,
The image processing method , wherein the processed component is such that the first component is emphasized more strongly as a difference between a predetermined reference value and the depth value is smaller . The image processing method according to claim 7, wherein the reference value is a value that represents the foremost value that can be taken by the depth value. In the image processing device,
A function to obtain the depth value of an object in the input image;
A function of obtaining a boundary of the object;
A function of separating the input image into a first component that is a component including gradation of the object and a second component that is a component other than the first component;
A function of generating a processed component in which the first component is emphasized with a strength corresponding to the depth value;
A function of generating a synthesized component obtained by synthesizing the processed component and the second component;
An image processing program for realizing a
An image processing program characterized in that the first component is more strongly emphasized as the difference between the predetermined reference value and the depth value is smaller. The image processing program according to claim 9, wherein the reference value is a value that represents the foremost value that can be taken by the depth value.

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